Triple
T15971375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huda Beauty |
E387330
|
entity |
| Predicate | hasSubBrand |
P6092
|
FINISHED |
| Object |
Wishful
Wishful is a skincare-focused sub-brand of Huda Beauty known for its gentle, results-driven products and pastel, minimalist aesthetic.
|
E1186655
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wishful | Statement: [Huda Beauty, hasSubBrand, Wishful]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wishful Context triple: [Huda Beauty, hasSubBrand, Wishful]
-
A.
Wishful Thinking
"Wishful Thinking" is a song featured on Bette Midler's live album "The Living Room Tour."
-
B.
Wanting
Wanting is a novel by Australian author Richard Flanagan that intertwines historical and fictional narratives to explore themes of desire, colonialism, and moral responsibility.
-
C.
Wish Wish
"Wish Wish" is a hip-hop track by DJ Khaled featuring Cardi B and 21 Savage, known for its hard-hitting beat and energetic performances.
-
D.
Wish
"Wish" is an aggressive, industrial rock song by Nine Inch Nails, known for its intense sound and Grammy-winning performance.
-
E.
Wish
Wish is an e-commerce platform and mobile shopping app known for offering a wide variety of low-priced goods shipped directly from merchants, primarily in China, to consumers worldwide.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wishful Triple: [Huda Beauty, hasSubBrand, Wishful]
Generated description
Wishful is a skincare-focused sub-brand of Huda Beauty known for its gentle, results-driven products and pastel, minimalist aesthetic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wishful Target entity description: Wishful is a skincare-focused sub-brand of Huda Beauty known for its gentle, results-driven products and pastel, minimalist aesthetic.
-
A.
Wishful Thinking
"Wishful Thinking" is a song featured on Bette Midler's live album "The Living Room Tour."
-
B.
Wanting
Wanting is a novel by Australian author Richard Flanagan that intertwines historical and fictional narratives to explore themes of desire, colonialism, and moral responsibility.
-
C.
Wish Wish
"Wish Wish" is a hip-hop track by DJ Khaled featuring Cardi B and 21 Savage, known for its hard-hitting beat and energetic performances.
-
D.
Wish
"Wish" is an aggressive, industrial rock song by Nine Inch Nails, known for its intense sound and Grammy-winning performance.
-
E.
Wish
Wish is an e-commerce platform and mobile shopping app known for offering a wide variety of low-priced goods shipped directly from merchants, primarily in China, to consumers worldwide.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15729d73c8190a4140a0e55ee2566 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe88fa308190942d37cf67458396 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3f40288190a59646124e06a864 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfdfe58c8190b5964b6f5812ef65 |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:54 a.m.